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Graph Attention

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/anniran1/hacd1-wsdm

공식 코드

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection

https://github.com/aptx1231/start

공식 코드

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics

https://github.com/arielsho/Program-Enhanced-Table-Fact-Checking

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Program Enhanced Fact Verification with Verbalization and Graph Attention Network

https://github.com/asif6827/gari

공식 코드

GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings

https://github.com/atomicarchitects/equiformer

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Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

https://github.com/awa59kst120df/graph_attention_student

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MEGAN: Multi-Explanation Graph Attention Network

https://github.com/awslabs/dgl-lifesci

공식 코드

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

https://github.com/bdi-lab/drag

공식 코드

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection

https://github.com/benedekrozemberczki/PDN

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Pathfinder Discovery Networks for Neural Message Passing

https://github.com/bill-cjb/nhde

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Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement

https://github.com/bimk/intelligent-education

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DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

https://github.com/bintsi/brain-age-population-graphs

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A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression

https://github.com/birlrobotics/vs-gats

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Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection

https://github.com/blakzaei/NOL-GAT

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Neighborhood-Order Learning Graph Attention Network for Fake News Detection

https://github.com/blakzaei/dhgat

공식 코드

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection

https://github.com/bmezaris/gated-vigat

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Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism

https://github.com/bmezaris/vigat

공식 코드

ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network

https://github.com/bozdaglab/graf

공식 코드

GRAF: Graph Attention-aware Fusion Networks

https://github.com/brainml-gt/jgat

공식 코드

JGAT: a joint spatio-temporal graph attention model for brain decoding

https://github.com/burcgokden/CoulGAT-Graph-Attention-Interpretability

공식 코드

CoulGAT: An Experiment on Interpretability of Graph Attention Networks

https://github.com/burcgokden/PLDR-LLM-with-KVG-cache

공식 코드

PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference

https://github.com/burcgokden/llm-from-power-law-decoder-representations

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PLDR-LLM: Large Language Model from Power Law Decoder Representations

https://github.com/caisa-lab/sarcasm_detection

공식 코드

Perceived and Intended Sarcasm Detection with Graph Attention Networks

https://github.com/capwidow/tempokgatcode

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TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis

https://github.com/chaojiewang94/wgaae

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Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks

https://github.com/chen-zichen/xplainllm_dataset

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XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

https://github.com/chenyugao-cs/sma

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Structured Multimodal Attentions for TextVQA

https://github.com/christopherley/asyncgraphgenerator

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Asynchronous Graph Generator

https://github.com/circle-hit/kbcin

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Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment

https://github.com/cjpcool/PR-GAT

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Customizing Graph Neural Networks using Path Reweighting

https://github.com/cjpcool/customgnn

공식 코드

Customizing Graph Neural Networks using Path Reweighting

https://github.com/clearbloo/feynman_gnn

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Learning Feynman Diagrams using Graph Neural Networks

https://github.com/clovaai/aasist

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AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

https://github.com/cognitive-robots/sem-gat

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SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention

https://github.com/cornell-zhang/hoga

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Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits

https://github.com/crazydemo/facial-attribute-classification-with-graph

공식 코드

Exploring Correlations in Multiple Facial Attributes through Graph Attention Network

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